Bayesian Health
Staff Machine Learning Engineer
Remote · Remote · Staff · Full-time · Posted Dec 19, 2024
- Experience
- 3+ years with a relevant Ph.D., or 5+ years shipping ML-based software products with a relevant Master’s degree.
- Education
- Ph.D. in a relevant field, or a relevant Master’s degree.
About the job
Own the end-to-end development, deployment, and real-world effectiveness of machine learning models in a live clinical AI product.
What you'll do
- Develop and tune ML models and labeler systems for clinical use cases.
- Productionize, deploy, debug, and improve ML systems using Python and SQL.
- Build infrastructure supporting model development and deployment in production.
What they ask for
- Ph.D. in a relevant field plus 3+ years of relevant experience, or a relevant Master’s degree and 5+ years of experience shipping ML-based software products.
- Experience owning ML models from prototyping through production.
- Experience writing production-grade Python and SQL to implement and evaluate ML models in production systems.
- Experience using MLOps tools such as SageMaker and MLFlow.
Nice to have
- Experience shipping high-impact AI/ML products from 0-1.
- Healthcare solutions experience or familiarity with messy health data.
Tools
Python, SQL, SageMaker, MLFlow, AWS
AI focus
Develop, deploy, and improve clinical machine learning models and labeler systems, and build MLOps infrastructure for production use.
Model-written summary · the original posting is authoritative